code: def test_transformer_ignores_na_in_df(df_na):
      # test case 5: dataset contains na, and transformer is asked to ignore
      transformer = OutlierTrimmer(
          capping_method="gaussian",
          tail="right",
          fold=1,
          variables=["Age"],
          missing_values="ignore",
      )
      X = transformer.fit_transform(df_na)
  
      df_transf = df_na.copy()
      inliers = df_transf["Age"].le(38.04494616731882)
      df_transf = df_transf.loc[inliers]
  
      pd.testing.assert_frame_equal(X, df_transf)
      assert len(X) == 5
  
file_path: feature_engine/tests/test_outliers/test_outlier_trimmer.py
imports: import pandas
  import pytest
  from feature_engine.outliers import OutlierTrimmer
label_desc: Use image node_id 5 for calling a global function with example usage: test_transformer_ignores_na_in_df(df_na) without return types